Evidence map›Paper›PMID 36747679›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Whole exome sequencing and replication for breast cancer among Hispanic/Latino women identifies

Jovia L Nierenberg, Aaron W Adamson, Donglei Hu, Scott Huntsman, Carmina Patrick, Min Li, Linda Steele, Barry Tong, Yiwey Shieh, Laura Fejerman and 9 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 10 institutions in 2 countries.

Jovia L NierenbergDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Aaron W AdamsonDepartment of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA.
Donglei HuDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Scott HuntsmanDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Carmina PatrickDepartment of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA.
Min LiDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Linda SteeleDepartment of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA.
Barry TongDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Yiwey ShiehDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Laura FejermanDepartment of Public Health Service, University of California, Davis, Davis, CA, USA.
Stephen B GruberDepartment of Medical Oncology and Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA.
Christopher A HaimanDepartment of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Esther M JohnDepartment of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA.
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Gabriela Torres-MejíaInstituto Nacional de Salud Pública, Cuernavaca, Mexico.
Charité RickerDepartment of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Jeffrey N WeitzelLatin American School of Oncology, Tuxla Gutierez, Chiapas, Mexico.
Elad ZivDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Susan L NeuhausenDepartment of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA.
University of California, San Francisco · USCity of Hope · USUniversity of Southern California · USCity Of Hope National Medical Center · USCornell University · USInstituto Nacional de Salud Pública · MXKaiser Permanente · USStanford University · USUC Davis Comprehensive Cancer CenterUniversidad del Pacífico de Chiapas · MX

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI STANLEY R. HAMILTON · 1985 to 2026
$86.3M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
CALIFORNIA TEACHERS STUDYR01CA077398 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BERNSTEIN, LESLIE · 1998 to 2014
$29.7M
GENETIC SUSCEPTIBILITY TO CANCER IN MULTIETHNIC COHORTSR01CA063464 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2001 to 2005
$23.2M
Prospective Study of Breast Cancer SurvivorshipR01CA105274 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2004 to 2014
$19.9M
Institutional Career Development Core SupplementKL2TR001870 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SARKAR, URMIMALA · 2016 to 2025
$19.7M
Breast Cancer Family Registry CohortUM1CA164920 · NCI · CANCER PREVENTION INSTIT OF CALIFORNIA · PI ANDRULIS, IRENE, BUYS, SAUNDRA S · 2012 to 2017
$12.7M
MULTIETHNIC/MINORITY COHORT STUDY OF DIET AND CANCERR01CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 1993 to 2002
$4.5M
Germline and Tumor Genomic Analyses of Breast Cancer in LatinasR01CA184585 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI NEUHAUSEN, SUSAN L., ZIV, ELAD · 2014 to 2018
$4.2M
Admixture Mapping for Breast Cancer in LatinasR01CA120120 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ZIV, ELAD · 2007 to 2011
$2.8M
Biological implications of breast cancer protective variants in Latin Americanwomen with high Indigenous American ancestryR01CA204797 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FEJERMAN, LAURA · 2016 to 2020
$1.9M
Genetics of mammographic density and breast cancer risk in LatinasK24CA169004 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ZIV, ELAD · 2012 to 2021
$1.8M
NCATS NIH HHS KL2 TR001870NCI NIH HHS K08 CA237829NCI NIH HHS K24 CA169004NCI NIH HHS P30 CA033572NCI NIH HHS R01 CA054281NCI NIH HHS R01 CA063446NCI NIH HHS R01 CA063464NCI NIH HHS R01 CA077398NCI NIH HHS R01 CA105274NCI NIH HHS R01 CA120120NCI NIH HHS R01 CA184585NCI NIH HHS R01 CA204797NCI NIH HHS RC4 CA153828NCI NIH HHS T32 CA112355NCI NIH HHS U01 CA063464NCI NIH HHS U01 CA164973NCI NIH HHS UM1 CA164920
6 · The paper itself

Abstract

Introduction: Breast cancer (BC) is one of the most common cancers globally. Genetic testing can facilitate screening and risk-reducing recommendations, and inform use of targeted treatments. However, genes included in testing panels are from studies of European-ancestry participants. We sequenced Hispanic/Latina (H/L) women to identify BC susceptibility genes. Methods: We conducted a pooled BC case-control analysis in H/L women from the San Francisco Bay area, Los Angeles County, and Mexico (4,178 cases and 4,344 controls). Whole exome sequencing was conducted on 1,043 cases and 1,188 controls and a targeted 857-gene panel on the remaining samples. Using ancestry-adjusted SKAT-O analyses, we tested the association of loss of function (LoF) variants with overall, estrogen receptor (ER)-positive, and ER-negative BC risk. We calculated odds ratios (OR) for BC using ancestry-adjusted logistic regression models. We also tested the association of single variants with BC risk. Results: We saw a strong association of LoF variants in Conclusion: In H/L women, LoF variants in

Indexed as

breast cancer susceptibilityestrogen receptor negative breast cancerFANCMwhole exome sequencing

Identifiers

PMID36747679
PMCPMC9901069
OpenAlexW4318389449

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.